Interaction Problems Research Articles

Simulating nonlinear optical processes on a superconducting quantum device

Simulating plasma physics on quantum computers is difficult because most problems of interest are nonlinear, but quantum computers are not naturally suitable for nonlinear operations. In weakly nonlinear regimes, plasma problems can be modelled as wave–wave interactions. In this paper, we develop a quantization approach to convert nonlinear wave–wave interaction problems to Hamiltonian simulation problems. We demonstrate our approach using two qubits on a superconducting device. Unlike a photonic device, a superconducting device does not naturally have the desired interactions in its native Hamiltonian. Nevertheless, Hamiltonian simulations can still be performed by decomposing required unitary operations into native gates. To improve experimental results, we employ a range of error-mitigation techniques. Apart from readout error mitigation, we use randomized compilation to transform undiagnosed coherent errors into well-behaved stochastic Pauli channels. Moreover, to compensate for stochastic noise, we rescale exponentially decaying probability amplitudes using rates measured from cycle benchmarking. We carefully consider how different choices of product-formula algorithms affect the overall error and show how a trade-off can be made to best utilize limited quantum resources. This study provides an example of how plasma problems may be solved on near-term quantum computing platforms.

Altered body as a source of interactional problems in the family of individuals with neurofibromatosis type 1 - A polish study.

Neurofibromatosis type 1 (NF1) is an autosomal dominant genetic disorder, whose clinical picture is dominated by visible body changes as well as numerous somatic and behavioural abnormalities. The aim of the study was to explore the ways in which the individual experiences NF1 in everyday life, with particular emphasis on the impact of the altered body on family interactions, in addition to the personal and social identity of individuals with NF1. A qualitative study was performed using individual in-depth interviews with 93 individuals with NF1 (median age: 36.69; range: 18 to 64; 26% males). Body changes caused by NF1 determine the specificity of social interactions in the families of the sick. The strength and direction of the impact of body changes on social interactions depends on their type (visibility, invisibility), as well as the meanings given to them. The visibility of disease lesions triggers an attitude of excessive control and stigmatization in the family, especially on the part of the mothers of individuals with NF1, and prompts a tendency to define the individual through the prism of the disease and its bodily manifestations. In turn, the lack of visibility of disease symptoms gives rise to, especially on the part of the fathers of the sick, opposing attitudes of disease denial, normalization of its symptoms and a tendency to question the disease identity of individuals with NF1. The great intensity of interactional problems concerns especially those families in which NF1 was transmitted through inheritance, and family members blame each other for the disease. This leads to repression and denial of the disease, excluding it from the scope of issues discussed in the family, which is an attempt to avoid the attribution of blame for the disease. The body changes resulting from NF1 have social consequences that are of critical importance in the lives of the sick. The impact of NF1 on family interactions depends on the ways in which the disease is understood by the sick individual and his or her family members. The obtained patient-driven data constitute a convenient starting point for designing personalized interventions supporting individuals with NF1 and their families.

On the Local Existence of Solutions to the Fluid–Structure Interaction Problem with a Free Interface

We address a system of equations modeling an incompressible fluid interacting with an elastic body. We prove the local existence when the initial velocity belongs to the space H1.5+ϵ\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$H^{1.5+\\epsilon }$$\\end{document} and the initial structure velocity is in H1+ϵ\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$H^{1+\\epsilon }$$\\end{document}, where ϵ∈(0,1/20)\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\epsilon \\in (0, 1/20)$$\\end{document}.

A Fast Simulation Model of Pantograph–Stitched-Catenary Interaction in Long-Distance Travel

The increasing operation speed of high-speed trains allows the pantograph to continuously interact with the catenary over a long distance in a short time, and many new methods have been developed to efficiently calculate its dynamics. However, the existing methods only consider simple catenary systems, which limits their application in high-speed railway systems. In this work, a reduced pantograph–stitched-catenary interaction model is developed to simulate pantograph–stitched-catenary interactions during long-distance travel. Based on the existing reduced catenary model, the stitched catenary system is first considered, where the stitched wire is simplified into a part of the messenger wire supported by two spring-damping elements. The present model is validated by test results and the EN 50318:2018 standard, and it is subsequently used to study the dynamic performance of the pantograph–stitched-catenary system at an overdesigned speed in Sweden. The results show that the proposed model can be seven times faster than the traditional modal superposition method with the same accuracy in a stitched catenary system, and the existing catenary system cannot be operated at an overdesigned speed without increasing the contact wire tension. The present model gives an efficient solution to pantograph–stitched-catenary interaction problems.

A new approach for spatio-temporal interface treatment in fluid–solid interaction using artificial neural networks employing coupled partitioned fluid–solid solvers

Partitioned fluid–solid interaction (FSI) problems involving non-conforming grids pose formidable challenge in interface treatment, especially for information exchange, interface tracking, and field variable interpolation between solvers in both space and time. These demand special considerations for accurate and efficient simulations. This paper presents an application of artificial neural networks (ANN) for the interface treatment in a coupled FSI problem employing partitioned solvers. A shallow time-series ANN (nonlinear auto-regressive model with exogenous inputs, NARX) scheme is proposed to handle the exchange of Neumann/Dirichlet information at the coupling interface. This scheme involves two interface treatment models that were developed and analysed. The proposed models interpolate and transfer loads from the fluid to the solid domains, and conversely, displacements from the solid to the fluid domains between non-collocated grids. To validate this approach, we tested it on a 3D FSI problem, which involved damped oscillations of a flexible flap submerged in a fluid cavity. Adequately trained NARX interface models demonstrate reliable input–output mapping and accurate prediction of transient behaviour at the interface. Additionally, we explored the concept of reduced-order modelling (ROM) in the time domain. This allowed us to reduce the model’s complexity by half. Different training algorithms were evaluated to enhance the efficiency and performance of the proposed scheme. The study demonstrates that NARX networks trained with Bayesian Regularization (BR) and Levenberg–Marquardt (LM) algorithms exhibit the best accuracy, while the scaled conjugate gradient (SCG)-based training method provides better computational efficiency with acceptable accuracy. Overall, the NARX interface models provide precise performance and offer a viable potential for applications in FSI problems requiring accurate and faster computations.

Accurate simulations of moving flexible objects with an improved immersed boundary-lattice Boltzmann method

Accurately capturing boundaries is crucial for simulating fluid–structure interaction (FSI) problems involving flexible objects undergoing large deformations. This paper presents a coupling of the immersed boundary-lattice Boltzmann method with a node-based partly smoothed point interpolation method (NPS-PIM) to enhance the accuracy of simulating moving flexible bodies in FSI problems. The proposed method integrates a multiple relaxation time scheme and employs a force correction technique to address boundary capturing inaccuracies. The effect of virtual fluid is accounted for through a Lagrangian point approximation, ensuring precise FSI force calculations for unsteady solid motions. NPS-PIM is utilized as the solid solver, constructing a moderately softened model stiffness by combining the finite element method (FEM) with the node-based smoothed PIM (NS-PIM). Simulations of flow fields near flexible objects with large deformations demonstrate that the proposed approach reduces numerical errors, improves computational efficiency compared to traditional FSI models using FEM and NS-PIM, and accurately captures the behavior of moving flexible bodies and detailed flow fields.

Sliding plane formalism for aeroacoustic and adjoint-based sensitivity calculations

This paper demonstrates a methodology for time-domain and time-accurate nonlinear, direct and adjoint simulations of unsteady flows and aeroacoustics for multi-component systems in relative motion. Here, the principal effort is directed towards mitigating the problem of distortion and contamination of the adjoint field at the moving interface, through a computationally lightweight, high-order sliding plane approach for which the adjoint equivalent is simple to obtain. This effort requires an attentive treatment of the interface conditions that surpasses the requirements of the more common forward (primary) problem. Sensitivity of a given quantity of interest from a time-varying flow with respect to a large number of parameters is then obtained through the adjoint operator, which is evaluated using nonlinear-adjoint looping. This technique is implemented using checkpointing and the PETSc TSAdjoint library and, after validation, applications including a rotor–stator interaction problem are presented.

An open-source, adaptive solver for particle-resolved simulations with both subcycling and non-subcycling methods

We present the IAMReX (incompressible flow with adaptive mesh refinement for the eXascale), an adaptive and parallel solver for particle-resolved simulations on the multi-level grid. The fluid equations are solved using a finite-volume scheme on the block-structured semi-staggered grids with both subcycling and non-subcycling methods. The particle-fluid interaction is resolved using the multidirect forcing immersed boundary method. The associated Lagrangian markers used to resolve fluid-particle interface only exist on the finest-level grid, which greatly reduces memory usage. The volume integrals are numerically calculated to capture the free motion of particles accurately, and the repulsive potential model is also included to account for the particle–particle collision. We demonstrate the versatility, accuracy, and efficiency of the present multi-level framework by simulating fluid-particle interaction problems with various types of kinematic constraints. The cluster of monodisperse particles case is presented at the end to show the capability of the current solver in handling multiple particles. It is demonstrated that the three-level AMR (Adaptive Mesh Refinement) simulation leads to a 72.46% grid reduction compared with the single-level simulation. The source code and testing cases used in this work can be accessed at https://github.com/ruohai0925/IAMR/tree/development. Input scripts and raw postprocessing data are also available for reproducing all results.

Numerical simulation of jet interaction flow field of complex configuration based on hybrid grid method

Abstract The supersonic/hypersonic jet interaction flow field includes many fluid phenomena such as shock waves, separation and reattachment of the boundary layer, expansion wave, Mach disk, shear layer, and so on. The complexity of the jet interaction flow field makes it difficult to simulate accurately, and the structured grid method is generally used in engineering applications. However, the structured grid has many shortcomings when dealing with complex configurations, and the traditional hybrid grid method has the problem of insufficient accuracy. In the paper, a structured/unstructured grid algorithmic coupling numerical simulation method is developed. Firstly, the feasibility and accuracy of this method are verified by numerical simulation of the jet interference flow field of cone-cylinder-skirt shape, along with a comparison with the results of the experiment and structural method. Then, the jet interference flow fields of the rudders and the grid fins configuration are simulated to show the efficiency of the method, and the accuracy is further verified. The results show that the hybrid numerical simulation method can save grid generation time and grid quantity to a certain extent when compared with the structural, showing higher accuracy, which provides an accurate and efficient solution to jet interaction problems with complex configurations.

The influence of neighbor selection on self-organized UAV swarm based on finite perception vision.

Recently, vision-based unmanned aerial vehicle (UAV) swarming has emerged as a promising alternative that can overcome the adaptability and scalability limitations of distributed and communication-based UAV swarm systems. While most vision-based control algorithms are predicated on the detection of neighboring objects, they often overlook key perceptual factors such as visual occlusion and the impact of visual sensor limitations on swarm performance. To address the interaction problem of neighbor selection at the core of self-organizing UAV swarm control, a perceptually realistic finite perception visual (FPV) neighbor selection model is proposed, which is based on the lateral visual characteristics of birds, incorporates adjustable lateral visual field widths and orientations, and is able to ignore occluded agents. Based on the FPV model, a neighbor selection method based on the Acute Angle Test (AAT) is proposed,
which overcomes the limitation that the traditional neighbor selection mechanism can only interact with the nearest neighboring agents. A large number of Monte Carlo simulation comparison experiments show that the proposed FPV+AAT neighborselection mechanism can reduce the redundant communication burden between large scale self-organized UAV swarms, and outperforms the traditional neighbor selection method in terms of order, safety, union, connectivity, and noise resistance.

Numerical study on wave attenuation via 1D fully kinetic electromagnetic particle-in-cell simulations

Abstract Electromagnetic wave-plasma interaction has drawn much attention recently due to numerous important technologies and applications, taking advantage of phenomena such as electromagnetic waves being reflected or absorbed in a plasma medium. The physics of wave-plasma interaction can be complicated, when non-uniform, non-equilibrium, or anisotropic plasmas are involved, in which numerical simulations can be used to fill the gaps between theoretical solutions and experimental measurements. Among many numerical methods, the particle-in-cell method, which can solve accurately both the electromagnetic fields and particle trajectories
self-consistently, would be the best choice to study wave-plasma interaction problems as long as the computational cost can be accepted. However, the applications of PIC on wave-plasma interaction remain rare, and the numerical effects of the PIC method on accurately evaluating the wave attenuation have not been studied in depth. In this paper, a number of numerical parameters and physical parameters are tested using a 1D electromagnetic PIC method plus Monte Carlo collision model. It is found that as long the as the basic PIC criterion is met, the PIC results can be trustable, and the numerical noise due to limited number of particles has a minor effect. The physical parameters of the EM wave frequency, amplitude, the plasma temperature, thickness, and collision type are studied, and their effects on the wave attenuation are presented. In addition, strategies on establishing simulation setup and evaluating the wave attenuation in terms of power or energy are discussed.

Russian science of public relations: stages of formation, specifics, development formats

INTRODUCTION. Any social institution presupposes scientific reflection of its activities. The purpose of the study is to trace the history of the formation of Russian scientific knowledge about public relations (PRology) as a component of a social institution, to characterize various approaches to scientific reflection of PR activities; to identify its national specifics and to determine possible foresights.MATERIALS AND METHODS. General scientific methods of deduction and induction, synthesis and analysis were used. The rather small domestic literature on the theory and history of PR knowledge was studied and analyzed.RESULTS AND DISCUSSION. It is analyzed various points of view on the science of public relations – classifying, problematic and historical. The analysis of the development of the Russian theory of public relations is given and the main characteristics of the stages of formation of Russian knowledge about PR are revealed, which generally correspond to the periodization of public relations in Russia. In the last five years, monographs and dissertations on the theory of PR have not appeared, but a significant number of works on media communications indicate the vulgarization of scientific knowledge about public relations due to the lack of a single scientific view on the nature and specificity of media communications. The tasks of the current stage of development of scientific knowledge about PR are outlined: reflection of the state of the PR industry; creation and legitimization of a single professional glossary; registration and generalization of regional experience in the field of communications; comprehension of the experience of European public relations.CONCLUSION. Among the foresight directions, the following are named: characteristics of the “model” mechanism of scientific description of modern PR-activity on the example of the communication model of G. Lasswell, operationalization in the scientific continuum of the concepts of “communication product”, “communication technology”. The area of application of the research results may be issues of the history of communication disciplines. In the prospects of scientific research, problems of interdisciplinary interaction of communication disciplines and the advancement of foresight topics of scientific research, reflecting the reflection of practical activities in the field of integrated communications, may be identified.

A Novel Natural Language Processing Model Transfer Strategy Tailored for Deep Learning Platforms

As artificial intelligence technology continues to evolve, numerous advancements enable smoother communication and collaboration between humans and computers. Natural language processing (NLP), as a key direction in the field of computer and artificial intelligence, has been attracting much attention. It focuses on the language used by people in daily life, devoting itself to improving the ability of language generation and understanding, thus making communication between people and computers more fluent and natural, effectively breaking through the problem of human-computer interaction. With the advancement of deep learning technology, the migration of NLP models onto deep learning platforms has emerged as a key trend. Model transfer, a crucial aspect of deep learning, holds significant value in enhancing the performance and efficiency of NLP models. This paper begins by outlining the fundamentals of deep learning platforms and NLP model transfer, followed by a comprehensive examination of current research progress and challenges in this field. Subsequently, we introduce a novel NLP model transfer strategy tailored for deep learning platforms and validate its effectiveness through rigorous experiments. In conclusion, the paper highlights our noteworthy advancements, pointing toward promising future developments.

Autonomic response and attachment style in disruptive mood dysregulation disorder.

Disruptive mood dysregulation disorder (DMDD) is characterised by severe emotion regulation difficulties, particularly anger and irritability, in children. Despite the impact of attachment on emotional and behavioural regulation, the link between attachment style and DMDD is under-researched. This study investigated whether attachment style and parasympathetic regulation differentiate the response profiles to frustrating conditions between children diagnosed with DMDD and controls. Participants were assessed at schools in Johannesburg, Gauteng, South Africa. Thirty participants were divided into two matched groups (n DMDD = 15; n Control = 15) and assessed. Respiratory sinus arrhythmia (RSA) and heart period were measured during an Affective Posner Task, inducing frustration. Attachment style was assessed using the Attachment Style Classification Questionnaire for children. Parents of children with DMDD completed a social interaction problems questionnaire. The DMDD group showed a higher prevalence of avoidant attachment style (p = 0.013) compared to controls. Both groups displayed adaptive vagal withdrawal and recovery during the task (p = 0.005; p = 0.021). Controls had significantly higher heart period throughout the assessment (game 1: p = 0.006; game 2: p = 0.013; game 3: p = 0.007). In the DMDD group, lower vagal tone during frustration correlated with more social interaction problems (p = 0.049). The study demonstrates a potential link between attachment style and altered physiological state in children with DMDD. The findings provide insight into possible atypical vagal regulation of the heart and avoidant attachment styles in DMDD, highlighting potential therapeutic and intervention targets.

Improving Critical Thinking Skills of Elementary Students Through Science Learning with Interactive Teaching Materials and Problem Based Learning

This study aims to evaluate the effectiveness of interactive multimedia-based learning with Problem Based Learning (PBL) model in improving critical thinking skills of elementary school students in Natural and Social Sciences subjects. This research uses a development method with quantitative and qualitative approaches. The results of validation from the aspects of material, media, and language showed high ratings, and the product was declared practical by teachers and students. Students were actively involved in learning, and the results of statistical analysis showed significant differences between the control group and the experimental group in learning activities. This shows that this method is effective in improving students' critical thinking skills. Nonetheless, this study has limitations in terms of generalization of the results. Future research is expected to expand the scope of the study and consider additional factors for the development of more effective learning methods.

Migration of a slip-spin solid spherical particle in a micropolar fluid-filled circular cylindrical tube

A combined study analytically and numerically for the axially symmetric creeping flow due to a slip-spin solid sphere surface moving in a microstructure fluid of micropolar type along the centreline of a circular cylindrical tube is introduced. This investigation was presented under low Reynolds number conditions. A general solution is obtained by superposing the essential solutions in both spherical and cylindrical coordinates to solve the Eringen micropolar field equations. The condition of the microrotation, along with couple stress, is used at the surface of the solid particle; while the microrotation is used at the inner cylindrical surface. Boundary conditions are imposed initially on the inner cylindrical surface using Fourier transforms and subsequently on the outer surface of the solid particle using a collocation technique. This paper aims to study the wall interaction problem of a translating slip-spin solid spherical particle in a micropolar fluid along the centreline of a circular cylindrical tube. The study also investigates the effect of the addition of slip conditions for velocity and microrotation on the surface of a solid particle. There is good convergence in the numerical findings obtained for the normalised hydrodynamic drag force (the tube-corrected factor) applying on the surface of the solid particle for several values of the micropolarity coefficient, slip-spin coefficients, and the ratio between the radius of the solid particle and tube. Regarding the flow of a solid spherical particle along the centreline of a cylindrical tube, our drag findings compare favourably to the solutions found in the literature. We found that the normalised drag force acting on the solid particle monotonically increases with the increase of the particle-to-tube radius ratio and reaches infinity in the limitless, with the increase of the micropolarity coefficient, and with the increase of the slip-spin coefficients for a steady ratio of particle-to-tube radius.

Challenges and coping strategies in airline service under crosscultural context

This study explores the challenges faced by airline cabin service from the perspectives of globalization and intercultural communication, as well as potential strategies to address these issues. The paper first reviews and analyzes the intercultural interaction problems that have emerged in airline cabin service, including language barriers, cultural clashes, and the misunderstandings and conflicts they bring. Subsequently, through field research and in-depth interviews, this article proposes and demonstrates a series of strategies to address these issues, including providing cultural adaptability training, enhancing cabin crew's language proficiency and intercultural communication skills, and improving the quality of service. Through the study and analysis of these strategies, this paper concludes that intercultural sensitivity and adaptability are crucial for improving the quality of airline cabin service and passenger satisfaction, providing theoretical basis and practical reference for airlines.

Degrees and Limits of Adverbial Transposition of Nouns in the Russian Language (Based on Formations with the Semantics of the Season and the Day)

The article presents a comprehensive semantic-grammatical analysis of the stages (degrees) and limit of adverbial transposition of nouns such as spring, summer, morning, day in the Russian language. The relevance of the study is due to the increased attention in modern linguistics to the problems of interaction between the grammatical and lexical in the structure of linguistic units that undergo various transposition processes, including adverbialization. The object of the study is the linguistic mechanism of adverbialization of nouns, producing adverbs and transitional, syncretic formations that have moved away to varying degrees from the original class of words and have come closer to adverbs; The subject of consideration is the stages (stages, degrees) of functional adverbialization of substantive word forms, reflected in typical contexts from the National Corpus of the Russian Language. The novelty of the approach is associated with the use of the technique of oppositional analysis (and the adverbial transposition scale), aimed at identifying the degrees of adverbialization of nouns. As a result of the study, semantic and grammatical features of core and peripheral nouns, peripheral adverbs and intermediate, hybrid structures were identified; criteria have been established for the differentiation of functional homonyms – non-prepositional forms of the instrumental case of nouns and adverbs formed on their basis.

A procedure for addressing the soil-abutment interaction problem in the safety assessment of bridges

The paper proposes a methodology for assessing the seismic soil-foundation-abutment response in the spirit of the sub-structure approach. The methodology is suitable for conventional bridge abutments characterized by massive structural components and accommodates for various structural and soil configurations, from both stratigraphic and topographic perspectives. The abutment is assumed to be rigid, which is a generally acceptable hypothesis given the typical geometry of conventional bridge abutments with walls, orthogonal wingwalls, and a concrete deep or strip foundation. The methodology aligns with codes, which foresees a linear behaviour for the abutments and suggest a low behaviour factor to account for dissipative capabilities due to the backfills and the radiation phenomena in the soil. The soil is assumed to perform elastically, but the overall soil nonlinearity induced by seismic wave propagation can be incorporated into the method using a linear equivalent representation of soil properties. The methodology is applied to a real case study in order to demonstrate its effectiveness in addressing the soil-structure interaction problem and to provide practical suggestions for the method implementation, including possible simplifications.

Effectiveness of Integrated Interactive Problem Based Learning E-Modules in Improving Critical Thinking Abilities

This study aims to analyze the improvement of students' critical thinking skills by using interactive modules integrated with problem-based learning on the excretory system material. The research method used pra experimental research design with a One-Shot Case Study. The data collection instrument was critical thinking ability test questions analyzed using SPSS version 27 software. The results showed a significant value for the T-test of 0.000 (<0.05), with an average N-gain score of 0.63, meaning there was a significant difference. The results of critical thinking abilities before and after using the PBL integrated interactive e-module with a significant increase of 0.63 (medium). So it is concluded that the PBL integrated interactive e-module is feasible, practical, and effective for improving students' critical thinking skills in studying biology on excretory system material.